Boutique Consumer Lending Consulting Firm with Data Science - Recensione dipendente - Data Scientist presso 2nd Order Solutions

5,0
11 set 2019
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

* Work with interesting clients, ranging from private equity firms, top-10 banks, big-3 consulting firms, credit bureaus, credit card networks, to other lending institutions. * Projects span the gamut of the lending lifecycle (marketing, acquisitions, fraud, customer management, through to collections and recoveries), and across a range of conusmer products (credit cards, lines of credit, secured and unsecured loans, and personal loans) * The hiring process is fairly stringent, so you get to work with smart people * The CEO makes himself accessible and takes lower-level employee feedback seriously * Most engagements staff just a single data scientist, so you’ll be responsible for all the analysis * The office environment/dress code is casual. * Work-life balance is solid. I rarely worked >40 hours a week and only once on a weekend (this is client-dependent though). * Flexible work schedule. Enter and leave when you want as long as your work gets done. People are free during the day to go to doctor’s appointments and take care of emergencies. * Solid vacation as well so long as you clear it in advance * The kitchen is well-stocked with snacks like yogurt and La Croix * For a consulting firm, the travel is refreshingly light. There are no Monday-Thursday projects, typically just kickoffs and close-outs. * Big emphasis on getting immediate hands-on experience. Most people are staffed on projects almost immediately and are making substantive contributions from the start * The firm will pay for employees to attend conferences each year

Svantaggi

* In my experience, work for a data scientist has a roughly 50-50 data science vs business split. Advancement is based largely on slide-building and communications which varies heavily project-to-project. * People can be a bit too nice and not correct mistakes when they are made, often sacrificing an opportunity for a learning experience. * Most of management has a non-data science background, making it hard to get feedback on data science work. * Utilization is typically great as consulting firms go, but project timelines can be jumpy and lead to periods where you are unstaffed on a project * More personal to myself, but the firm operates an open-office environment and it can be very loud at times

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5,0
25 lug 2025
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great company culture and work life balance, small company feel, variety of projects,

Svantaggi

Cyclical in terms of workload but that is consulting in general

3,0
13 set 2025
Dipendente anonimo
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

- Good pay and benefits, generally good WLB unless on a due diligence project (which were infrequent). Rare to go above 40-45 hrs a week - A mix of both technical and client-driven work if you're into that. Lots of opportunities to be in front of clients you won't get in other strictly "data science" roles - Flexible travel policy between offices, all costs reimbursed. Was always fun to visit DC whenever I wanted

Svantaggi

- Not much innovation going on here. The model build process was very slow with little standardization across project to project; same goes for other project types. This made some engagements needlessly long and inefficient. Investing in building a code/knowledge base would have helped a lot; they had begun to push this around the time I left, although not nearly enough - Co-workers were always very nice and respectful, but didn't seem like they were passionate about what they did or the firm's mission - Inconsistent or mixed performance feedback - CEO had weird vibes. Came across as a bit arrogant and stuck-up to me; always talked about how great the firm was which I don't think was backed up by the quality of our work. Hard to relate to unless you played golf/were wealthy

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